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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Class-based inequality and higher education achievement in Europe: the role of gender and class

International Journal of Sociology and Social Policy. 2024. Vol. 44. No. 11/12. P. 974–990.
Karmaeva N., Ilieva-Trichkova P.

Purpose

Against the recent reversal of the gender gap in higher education that has been observed in many countries, this paper aims to explore why there are better chances for lower social class women to access higher education than for higher social class women in a relative comparison with the same groups of men. Based on the occupational approach and the Breen–Goldthorpe model, we demonstrate those country conditions under which stratification in individual chances to obtain higher education is more severe.

Design/methodology/approach

We use contextual characteristics which capture gender-based and occupational differentiation, including female labour force participation, the share of females in the service sector, and the share of males in upper-secondary vocational education. By using multilevel modelling techniques and data provided by the European Social Survey (2002–2018) for 33 countries, we have made a cross-country analysis of how the relationship between gender and class, as well as the achievement of higher education, is moderated by these features.

Findings

Our results show that a higher share of males in upper secondary vocational education in a given country is negatively associated with the likelihood of obtaining higher education, whereas a high share of females employed in services in a given country has a positive association with this likelihood. We have also found cross-level interactions between a higher share of employed females and women in the service sector, on the one hand, and those of working-class origin, on the other, that are positively associated with higher education achievement. In higher education achievement, the growing importance of horizontal differentiation based on occupation and gender has accompanied the declining power of vertical inequality based on social class.

Originality/value

This study combines gender and class in an analysis of patterns of inequalities of educational opportunity in different societies undergoing a post-industrialist shift.

Research target: Education Sociology (including Demography and Anthropology
Language: English
Full text
DOI
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Keywords: высшее образованиесоциальное неравенствосоциальный классЕвропейское социальное исследованиеsocial inequalitygenderEuropean Social Survey (ESS)social class higher education
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